code: def _compareLogDeterminantBase(self, matrix_x, tf_ans):
      sign_tf, abs_log_det_tf = tf_ans
      shape = matrix_x.shape
      if shape[-1] == 0 or shape[-2] == 0:
          np_sign, np_ans = (
              1.0,
              np.zeros(shape[:-2]).astype(matrix_x.dtype),
          )
      else:
          np_sign, np_ans = np.linalg.slogdet(matrix_x)
          np_ans = np_ans.astype(matrix_x.dtype)
  
      self.assertShapeEqual(np_ans, abs_log_det_tf)
      sign_tf_val = self.evaluate(sign_tf)
      abs_log_det_tf_val = self.evaluate(abs_log_det_tf)
      self.assertAllClose(
          sign_tf_val * np.exp(abs_log_det_tf_val),
          np_sign * np.exp(np_ans),
          atol=5e-5,
      )
  
imports: import numpy
  from tensorflow.python.client import session
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import control_flow_ops
  from tensorflow.python.ops import gen_linalg_ops
  from tensorflow.python.ops import linalg_ops
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import benchmark
  from tensorflow.python.platform import test
label_desc: Use image node_id 2 for calling the DeterminantOpTest obj's underlying member method code with example usage: obj._compareLogDeterminantBase(matrix_x, tf_ans) without return types